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Ix S.

Ix S.

AI Data Annotator & Trainer | Image & Video Labeling Specialist

Nigeria flagLagos, Nigeria

Key Skills

Software

OneFormaOneForma
Scale AIScale AI
MindriftMindrift

Top Subject Matter

Computer vision dataset annotation (image understanding)
Computer vision dataset annotation (video understanding)
Multimodal dataset annotation (image, video, audio)

Top Data Types

ImageImage
VideoVideo
AudioAudio

Top Task Types

Object DetectionObject Detection
TrackingTracking
TranscriptionTranscription
Bounding BoxBounding Box
Question AnsweringQuestion Answering
RLHFRLHF

Freelancer Overview

AI Data Annotator & Trainer | Outlier AI (Freelance). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Outlier AI, Atlas Capture, and Handshake. Education includes Bachelor of Technology, Federal University of Technology Akure (FUTA). AI-training focus includes data types such as Image, Video, and Audio and labeling workflows including Object Detection, Tracking, and Transcription.

Labeling Experience

Video Annotation Specialist | Atlas Capture (Freelance)

VideoVideoTrackingTracking

Delivered frame-level video annotation for AI training datasets including object tracking, motion segmentation, and temporal event labeling. Annotated video sequences with precise bounding boxes and polygon masks while maintaining consistency across hundreds of frames. Applied scene-level classification and activity recognition labels for use in computer vision training pipelines.• Frame-by-frame object tracking and temporal event labeling• Motion segmentation and polygon masking for precise spatial annotation• Scene-level classification and activity recognition for video clips• Strict adherence to video annotation guidelines covering occlusion, lighting changes, and fast-motion scenarios

2025 - Present

AI Data Annotator & Trainer | Outlier AI (Freelance)

ImageImageObject DetectionObject Detection

Performed image annotation and labeling tasks including object detection, bounding boxes, polygon segmentation, and scene classification in accordance with detailed guidelines. Ensured pixel-accurate results for fine-grained pattern extraction across large datasets. Conducted structured evaluation of AI model outputs to assess quality, coherence, and task accuracy and improve subsequent performance.• Object detection with bounding boxes and polygons aligned to project instructions• Pixel-perfect pattern extraction and fine-grained visual attention for dataset consistency• AI output review and feedback generation to support model performance• Maintained high accuracy and consistency ratings for priority higher-complexity tasks

2025 - Present

Image & Video Labeling Specialist | Handshake (Freelance)

AudioAudioTranscriptionTranscription

Executed multi-modal annotation work spanning image labeling, video frame annotation, and audio transcription/recording tasks. Applied object masking and furniture removal annotations on visual datasets intended for training generative AI and computer vision models. Followed evolving annotation schemas, adapted quickly to project-specific guidelines, and collaborated with QA reviewers to resolve discrepancies and ensure dataset integrity.• Audio transcription/recording annotation and audio quality-related tasks• Visual annotation including object masking and furniture removal techniques• Video frame annotation following project-specific schemas and error-minimization practices• Asynchronous QA collaboration to address annotation discrepancies and maintain dataset integrity

2024 - 2025

Education

F

Federal University of Technology Akure (FUTA)

Bachelor of Technology, Computer Science

Bachelor of Technology
Not specified

Work History

I

Independent

Flutter Mobile App Developer (Independent)

Akure
2024 - Present